Details and PDFs available here. Videos of the contributed talks and spotlights are available here.
Contributed Talks
- Sebastian Nowozin
Constructing Composite Likelihoods in General Random Fields
- Jiarong Jiang, Taesun Moon, Hal Daume III
Prioritized Asynchronous Belief Propagation
- Franziska Meier, Amir Globerson, Fei Sha
The More the Merrier: Parameter Learning for Graphical Models with Multiple MAPs
- Fuxin Li, Joao Luis Carreira, Guy Lebanon, Cristian Sminchisescu
CSI: Composite Statistical Inference for Semantic Segmentation
- William Yang Wang, Kathryn Mazaitis, William W. Cohen
Programming with Personalized PageRank: A Locally Groundable First-Order Probabilistic Logic
- Ujjwal Das Gupta, Srinivasan Sriram, Sanjeev Sharma, Russell Greiner
Learning Markov Networks with Bounded Inference Complexity
Posters
- Jiaji Zhou, Stephane Ross, Yisong Yue, Debadeepta Dey, J. Andrew Bagnell
Knapsack Constrained Contextual Submodular List Prediction with Application to Multi-document Summarization
- Debasish Das, Auroop R. Ganguly, Zoran Obradovic
A Sparse Bayesian Model for Dependence Analysis of Extremes: Climate Applications
- Stephen H Bach, Bert Huang, Lise Getoor
Learning Latent Groups with Hinge-loss Markov Random Fields
- Nitish Srivastava, Ruslan Salakhutdinov, Geoffrey Hinton
Fast Inference and Learning for Modeling Documents with a Deep Boltzmann Machine
- Daniel Lowd, Amirmohammad Rooshenas
Learning Markov Networks With Arithmetic Circuits
- Khaled S. Refaat, Arthur Choi, Adnan Darwiche
EDML for Learning Parameters in Directed and Undirected Graphical Models
- Rajhans Samdani, Kai-Wei Chang, Dan Roth
A Discriminative Latent Variable Model for Clustering of Streaming Data with Application to Coreference Resolution
- Natalia Flerova, Radu Marinescu, Rina Dechter
Anytime AND/OR Best-First Search for Optimization in Graphical Models - Lars Otten, Rina Dechter
A Case Study in Complexity Estimation: Towards Parallel Branch-and-Bound over Graphical Models
- Stefano Ermon, Carla P Gomes, Ashish Sabharwal, Bart Selman
Discrete Integration by Decoding Binary Codes
- Robert Gens, Pedro Domingos
Learning the Structure of Sum-Product Networks
- Tsukasa Omoto, Koji Eguchi, Shotaro Tora
Hybrid Parallel Inference for Hierarchical Dirichlet Process
- Daniel Munoz, Alexander Grubb, J. Andrew Bagnell, Martial Hebert
Using Inference Machines for Perception Tasks
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